This app is used to let the student learn about the concept of allocation method used in stratified random sampling.

This app is used to let the student learn about the concept of allocation method used in stratified random sampling.
This app introduces the concept of ANCOVA focusing on interpreting interaction plots.
This app explores the assumptions that are needed for inferences in linear models such as ANOVA, ANCOVA, and models with blocking, random effects, and repeated measures.
2
This app is focused on the Bayesian inference, Bayesian hypothesis testing and Bayes factor.
This app is designed to demonstrate Bayes’ Theorem using the classic example of disease incidence.
This app explores the use of the Box-Cox Transformation technique in real datasets to make data approximate to normal.
3
This app allows the user to examine the sampling distribution of the mean for samples from a variety of continuous and discrete populations.
This app explores the Chi-Square Goodness-fit Test for categorical data using simulations under the null hypothesis.
In this app you will explore examples of the Chi-Square Test of Independence; you will also be able to test your own dataset. The Fill in the Blanks exercise would serve to test your understandings about this topic.
This app illustrates R code for data wrangling, reshaping and combining data.